DocumentCode :
3154398
Title :
Vision based obstacle detection using 3D HSV histograms
Author :
Derhgawen, Ashish R. ; Ghose, D.
Author_Institution :
Dept. of Aerosp. Eng., Indian Inst. of Sci., Bangalore, India
fYear :
2011
fDate :
16-18 Dec. 2011
Firstpage :
1
Lastpage :
4
Abstract :
This paper presents a fast obstacle detection algorithm for mobile robots that uses a single color camera as the only sensor to detect unknown obstacles in an environment. The algorithm uses color HSV histograms to classify each individual pixel as belonging either to an obstacle, or the ground based on its appearance. The system is capable of performing high speed obstacle detection on both uniform and multicolored terrains.
Keywords :
collision avoidance; image classification; image colour analysis; image sensors; mobile robots; object detection; robot vision; 3D HSV histograms; color HSV histograms; mobile robots; pixel classification; single color camera; vision based obstacle detection; Cameras; Collision avoidance; Computers; Histograms; Image color analysis; Robot sensing systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
India Conference (INDICON), 2011 Annual IEEE
Conference_Location :
Hyderabad
Print_ISBN :
978-1-4577-1110-7
Type :
conf
DOI :
10.1109/INDCON.2011.6139381
Filename :
6139381
Link To Document :
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